Data Engineer - Associate

At JP Morgan Chase, you have the opportunity to contribute to end-to-end data pipeline solutions on cloud infrastructure using the latest technologies and industry best practices. Your role involves ensuring that your code adheres to resiliency, performance, security, testing, quality, and scalability standards. Additionally, you will be responsible for supporting the products you've developed throughout their lifecycle, including production and incident management. Key Responsibilities: - Contribute to end-to-end data pipeline solutions on cloud infrastructure - Ensure code meets resiliency, performance, security, testing, quality, and scalability standards - Support products throughout their lifecycle, including production and incident management Qualifications Required: - Formal training or certification in software engineering with at least 3 years of applied experience - Recent hands-on professional experience as a data engineer - Proficiency in coding with the Python programming language - Familiarity with cloud technologies and distributed systems - Knowledge of data transformation frameworks and data pipeline orchestration tools - Ability to manage large volumes of data and different data stores, including relational data stores - Experience in implementing various types of tests (unit, component, integration, end-to-end, performance, etc.) - Excellent written and verbal communication skills in English Please note that there were no additional details about the company provided in the job description.,